48 research outputs found
Sorting and separation of microparticles by surface properties using liquid crystal-enabled electro-osmosis
Sorting and separation of microparticles is a challenging problem of
interdisciplinary nature. Existing technologies can differentiate
microparticles by their bulk properties, such as size, density, electric
polarizability, etc. The next level of challenge is to separate particles that
show identical bulk properties and differ only in subtle surface features, such
as functionalization with ligands. In this work, we propose a technique to sort
and separate particles and fluid droplets that differ in surface properties. As
a dispersive medium, we use a nematic liquid crystal (LC) rather than an
isotropic fluid, which allows us to amplify the difference in surface
properties through distinct perturbations of LC order around the dispersed
particles. The particles are placed in a LC cell with spatially distorted
molecular orientation subject to an alternating current electric field. The
gradients of the molecular orientation perform two functions. First, elastic
interactions between these pre-imposed gradients and distortions around the
particles separate the particles with different surface properties in space.
Second, these pre-imposed patterns create electro-osmotic flows powered by the
electric field that transport the sorted particles to different locations thus
separating them. The demonstrated unique sorting and separation capability
opens opportunities in lab-on-a-chip, cell sorting and bio-sensing
applications
Plasmonic Metasurfaces with High UVĂą Vis Transmittance for Photopatterning of Designer Molecular Orientations
Recent developments of utilizing plasmonic metasurfaces in photopatterning of designer molecular orientations have facilitated numerous new applications of liquid crystals; while the optical efficiency of the metamasks remains a critical issue, especially in the UV region. Here a new design of plasmonic metasurfaces made of parallelepiped arrays is presented which yield very high and broadband transmission in the UVĂą vis wavelength range. It is shown that this plasmonic metamask exhibits two polarization peaks originated from a cavity mode and lattice resonance respectively and demonstrated that complex designer molecular orientations can be photopatterned by using this metamask with significantly reduced exposure time. This type of highĂą efficiency broadband plasmonic metasurfaces is not only important for high resolution photopatterning of molecular orientation but also tailorable for various other flat optics applications in the UV and near UV regions.Spatially variant molecular orientations are central to many liquid crystal applications. Here a new design of plasmonic metasurfaces with ultrahigh optical transmissions as metamasks for photopatterning arbitrary designer molecular orientations is presented and it is demonstrated that such metamasks can significantly reduce the exposure time of the photopatterning.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149547/1/adom201900117-sup-0001-S1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149547/2/adom201900117.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149547/3/adom201900117_am.pd
Liquid crystal elastomer coatings with programmed response of surface profile
Stimuli-responsive liquid crystal elastomers (LCEs) with a strong coupling of
orientational molecular order and rubber-like elasticity, show a great
potential as working elements in soft robotics, sensing, transport and
propulsion systems. We demonstrate a dynamic thermal control of the surface
topography of LCE coatings achieved through pre-designed patterns of in-plane
molecular orientation. These patterns determine whether the LCE coating
develops elevations, depressions, or in-plane deformations. The deterministic
dependence of the out-of-plane dynamic surface profile on the in-plane
orientational pattern is explained by activation forces. These forces are
caused by two factors: (i) stretching-contraction of the polymer networks
driven by temperature; (ii) spatially varying orientation of the LCE. The
activation force concept brings the responsive LCEs into the domain of active
matter. The demonstrated relationship can be used to design programmable
coatings with functionalities that mimic biological tissues such as skin
Control of microswimmers by spiral nematic vortices: transition from individual to collective motion and contraction, expansion, and stable circulation of bacterial swirls
Active systems comprised of self-propelled units show fascinating transitions
from Brownian-like dynamics to collective coherent motion. Swirling of swimming
bacteria is a spectacular example. This study demonstrates that a nematic
liquid crystal environment patterned as a spiral vortex controls
individual-to-collective transition in bacterial swirls and defines whether
they expand or shrink. In dilute dispersions, the bacteria swim along open
spiral trajectories, following the pre-imposed molecular orientation. The
trajectories are nonpolar. As their concentration exceeds some threshold, the
bacteria condense into unipolar circular swirls resembling stable limit cycles.
This collective circular motion is controlled by the spiral angle that defines
the splay-to-bend ratio of the background director. Vortices with dominating
splay shrink the swirls towards the center, while vortices with dominating bend
expand them to the periphery. 45o spiraling vortices with splay-bend parity
produce the most stable swirls. All the dynamic scenarios are explained by
hydrodynamic interactions of bacteria mediated by the patterned passive nematic
environment and by the coupling between the concentration and orientation. The
acquired knowledge of how to control individual and collective motion of
microswimmers by a nematic environment can help in the development of
microscopic mechanical systems.Comment: Main text (39 pages and 9 figures) and supplementary materials (10
pages and 6 figures
Mean first-passage times of non-Markovian random walkers in confinement
The first-passage time (FPT), defined as the time a random walker takes to
reach a target point in a confining domain, is a key quantity in the theory of
stochastic processes. Its importance comes from its crucial role to quantify
the efficiency of processes as varied as diffusion-limited reactions, target
search processes or spreading of diseases. Most methods to determine the FPT
properties in confined domains have been limited to Markovian (memoryless)
processes. However, as soon as the random walker interacts with its
environment, memory effects can not be neglected. Examples of non Markovian
dynamics include single-file diffusion in narrow channels or the motion of a
tracer particle either attached to a polymeric chain or diffusing in simple or
complex fluids such as nematics \cite{turiv2013effect}, dense soft colloids or
viscoelastic solution. Here, we introduce an analytical approach to calculate,
in the limit of a large confining volume, the mean FPT of a Gaussian
non-Markovian random walker to a target point. The non-Markovian features of
the dynamics are encompassed by determining the statistical properties of the
trajectory of the random walker in the future of the first-passage event, which
are shown to govern the FPT kinetics.This analysis is applicable to a broad
range of stochastic processes, possibly correlated at long-times. Our
theoretical predictions are confirmed by numerical simulations for several
examples of non-Markovian processes including the emblematic case of the
Fractional Brownian Motion in one or higher dimensions. These results show, on
the basis of Gaussian processes, the importance of memory effects in
first-passage statistics of non-Markovian random walkers in confinement.Comment: Submitted version. Supplementary Information can be found on the
Nature website :
http://www.nature.com/nature/journal/v534/n7607/full/nature18272.htm
Elasticity and Viscosity of DNA Liquid Crystals
Concentrated solutions of blunt-ended DNA oligomer duplexes self-assemble in living polymers and order into lyotropic nematic liquid crystal phase. Using the optical torque provided by three distinct illumination geometries, we induce independent splay, twist, and bend deformations of the DNA nematic and measure the corresponding elastic coefficient